Proceedings of the 2023 9th International Conference on Advances in Energy Resources and Environment Engineering (ICAESEE 2023)

Research on Shutdown Dose Safety Algorithm for Advanced Solid-State Modular Small Nuclear Energy Systems

Authors
Xirui Zhang1, *, Dacai Zhang1, Te Sheng1, Haonan Liu1, Ganglin Yu1
1Tsinghua University, 30 Shaungqing Rd, 100084, Beijing, China
*Corresponding author. Email: zhangxr21@mails.tsinghua.edu.com
Corresponding Author
Xirui Zhang
Available Online 14 May 2024.
DOI
10.2991/978-94-6463-415-0_3How to use a DOI?
Keywords
Renewable Energy; Nuclear Energy; Radiation Safety; Rigorous 2-Step Method; Monte Carlo Simulation
Abstract

Nuclear energy, as one of the crucial high-energy-density clean energy sources, is inherently associated with safety concerns regarding radiation dose throughout its development and application. The evolution of distributed power markets has rendered the calculation of dose rates for small reactors a focal point of research. This study employs uncertainty-based particle transport calculations and burnup calculations using the matrix exponential method. A Rigorous 2-Step (R2S) program is developed for the coupled neutron-high-energy gamma-ray transport in a multi-physics framework involving criticality, burnup, and activation processes. The correctness and accuracy of the algorithm are verified against the internationally recognized ITER shutdown dose rate benchmark. The research findings demonstrate that the R2S program aligns well with numerical solutions provided by various authoritative international institutions for FDS, SWIP, Jakhar and CCFE programs in benchmark calculations. Consequently, the R2S algorithm developed in this study proves applicable for dose rate numerical calculations in small modular solid-state nuclear energy systems, offering robust data support for the safety assessment of advanced nuclear power systems.

Copyright
© 2024 The Author(s)
Open Access
Open Access This chapter is licensed under the terms of the Creative Commons Attribution-NonCommercial 4.0 International License (http://creativecommons.org/licenses/by-nc/4.0/), which permits any noncommercial use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license and indicate if changes were made.

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Volume Title
Proceedings of the 2023 9th International Conference on Advances in Energy Resources and Environment Engineering (ICAESEE 2023)
Series
Atlantis Highlights in Engineering
Publication Date
14 May 2024
ISBN
10.2991/978-94-6463-415-0_3
ISSN
2589-4943
DOI
10.2991/978-94-6463-415-0_3How to use a DOI?
Copyright
© 2024 The Author(s)
Open Access
Open Access This chapter is licensed under the terms of the Creative Commons Attribution-NonCommercial 4.0 International License (http://creativecommons.org/licenses/by-nc/4.0/), which permits any noncommercial use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license and indicate if changes were made.

Cite this article

TY  - CONF
AU  - Xirui Zhang
AU  - Dacai Zhang
AU  - Te Sheng
AU  - Haonan Liu
AU  - Ganglin Yu
PY  - 2024
DA  - 2024/05/14
TI  - Research on Shutdown Dose Safety Algorithm for Advanced Solid-State Modular Small Nuclear Energy Systems
BT  - Proceedings of the 2023 9th International Conference on Advances in Energy Resources and Environment Engineering (ICAESEE 2023)
PB  - Atlantis Press
SP  - 13
EP  - 20
SN  - 2589-4943
UR  - https://doi.org/10.2991/978-94-6463-415-0_3
DO  - 10.2991/978-94-6463-415-0_3
ID  - Zhang2024
ER  -